Application of the Neural Network for the Automatic Extraction and Measurement of the Peritoneum

Abstract

This paper proposed a method to extract and measure the peritoneum automatically. In this algorithm, firstly, the input image is normalized and the edge between the empty area and the monolayer of the flat cells are detected. Then, the peritoneum area is extracted by the using a three layer neural network. And then measurement of the peritoneum is performed. We tested this algorithm by using the real-world image. The experiment results show that this method is very efficient and effective.